Design of Auto-assisted Autopilot System Based on Machine Learning Algorithm and Computer Vision

As human society enters the era of interconnection and intelligence, the rapid growth of the automotive industry has made intelligent driving technology a new industry focus. At a deeper level, autonomous driving technology is bound to effectively reduce the probability of traffic accidents and ensure driving safety. Machine learning (ML) algorithm and computer vision technology are playing more and more important roles in auto-assisted driving system. This article will explore how to effectively integrate ML and computer vision technology, and build a prototype of auto-assisted automatic driving system, so as to improve the performance of auto-assisted automatic driving system and realize more intelligent and autonomous vehicle control. Through the experimental design and system implementation, the feasibility and effectiveness of the method studied in this article in the construction of automobile aided automatic driving system are verified, and at the same time, it provides a useful reference for future research direction. The research successfully integrated ML algorithm with computer vision technology, which realized complementary functions and improved performance, and further improved the overall performance of the auto-assisted driving system.